Using meta-data to enhance process simulation and identify improvements
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Abstract
Process modelling can play an important part in understanding and improving engineering design processes. Meta-data, i.e., numerical information describing the state of a process, can be used to enhance modelling fidelity and to measure predicted behaviour. We explore the application of metadata using a proxy process represented using an Applied Signposting Model. The proxy has been derived from a model of the turbine cooling system design process. We argue that meta-data can be used to control the flow of the modelled process, to couple the behaviour of concurrent sub-processes and to provide quantitative feedback about the process behaviour. We also show that alternative process configurations can be developed to deliver improved performance within the same structure of activities and information flow, and use simulation results to identify such configurations.